Overview

Brought to you by YData

Dataset statistics

 Machine FailureNo Machine Failure
Number of variables1717
Number of observations12651235
Missing cells37106
Missing cells (%)0.2%0.5%
Duplicate rows00
Duplicate rows (%)0.0%0.0%
Total size in memory177.9 KiB173.7 KiB
Average record size in memory144.0 B144.0 B

Variable types

 Machine FailureNo Machine Failure
Categorical33
Numeric1414

Alerts

Machine FailureNo Machine Failure
Downtime has constant value "Machine_Failure" Downtime has constant value "No_Machine_Failure" Constant
Assembly_Line_No is highly overall correlated with Machine_IDAssembly_Line_No is highly overall correlated with Machine_IDHigh correlation
Machine_ID is highly overall correlated with Assembly_Line_NoMachine_ID is highly overall correlated with Assembly_Line_NoHigh correlation
Alert not present in this datasetCoolant_Pressure(bar) has 19 (1.5%) missing values Missing

Reproduction

 Machine FailureNo Machine Failure
Analysis started2024-12-05 06:41:49.8119392024-12-05 06:42:08.231850
Analysis finished2024-12-05 06:42:08.2208502024-12-05 06:42:24.938340
Duration18.41 seconds16.71 seconds
Software versionydata-profiling vv4.12.0ydata-profiling vv4.12.0
Download configurationconfig.jsonconfig.json

Variables

Machine_ID
Categorical

 Machine FailureNo Machine Failure
Distinct33
Distinct (%)0.2%0.2%
Missing00
Missing (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
Makino-L1-Unit1-2013
454 
Makino-L3-Unit1-2015
415 
Makino-L2-Unit1-2015
396 
Makino-L1-Unit1-2013
420 
Makino-L2-Unit1-2015
412 
Makino-L3-Unit1-2015
403 

Length

 Machine FailureNo Machine Failure
Max length2020
Median length2020
Mean length2020
Min length2020

Characters and Unicode

 Machine FailureNo Machine Failure
Total characters2530024700
Distinct characters1515
Distinct categories44 ?
Distinct scripts22 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Machine FailureNo Machine Failure
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Machine FailureNo Machine Failure
1st rowMakino-L1-Unit1-2013Makino-L3-Unit1-2015
2nd rowMakino-L1-Unit1-2013Makino-L3-Unit1-2015
3rd rowMakino-L3-Unit1-2015Makino-L3-Unit1-2015
4th rowMakino-L2-Unit1-2015Makino-L3-Unit1-2015
5th rowMakino-L1-Unit1-2013Makino-L2-Unit1-2015

Common Values

ValueCountFrequency (%)
Makino-L1-Unit1-2013 454
35.9%
Makino-L3-Unit1-2015 415
32.8%
Makino-L2-Unit1-2015 396
31.3%
ValueCountFrequency (%)
Makino-L1-Unit1-2013 420
34.0%
Makino-L2-Unit1-2015 412
33.4%
Makino-L3-Unit1-2015 403
32.6%

Length

2024-12-05T01:42:25.779752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

Machine Failure

2024-12-05T01:42:25.861276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:25.940804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
makino-l1-unit1-2013 454
35.9%
makino-l3-unit1-2015 415
32.8%
makino-l2-unit1-2015 396
31.3%
ValueCountFrequency (%)
makino-l1-unit1-2013 420
34.0%
makino-l2-unit1-2015 412
33.4%
makino-l3-unit1-2015 403
32.6%

Most occurring characters

ValueCountFrequency (%)
- 3795
15.0%
1 2984
11.8%
i 2530
10.0%
n 2530
10.0%
2 1661
 
6.6%
M 1265
 
5.0%
a 1265
 
5.0%
k 1265
 
5.0%
o 1265
 
5.0%
L 1265
 
5.0%
Other values (5) 5475
21.6%
ValueCountFrequency (%)
- 3705
15.0%
1 2890
11.7%
i 2470
10.0%
n 2470
10.0%
2 1647
 
6.7%
M 1235
 
5.0%
a 1235
 
5.0%
k 1235
 
5.0%
o 1235
 
5.0%
L 1235
 
5.0%
Other values (5) 5343
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10120
40.0%
Decimal Number 7590
30.0%
Dash Punctuation 3795
 
15.0%
Uppercase Letter 3795
 
15.0%
ValueCountFrequency (%)
Lowercase Letter 9880
40.0%
Decimal Number 7410
30.0%
Dash Punctuation 3705
 
15.0%
Uppercase Letter 3705
 
15.0%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 3795
100.0%
ValueCountFrequency (%)
- 3705
100.0%
Decimal Number
ValueCountFrequency (%)
1 2984
39.3%
2 1661
21.9%
0 1265
16.7%
3 869
 
11.4%
5 811
 
10.7%
ValueCountFrequency (%)
1 2890
39.0%
2 1647
22.2%
0 1235
16.7%
3 823
 
11.1%
5 815
 
11.0%
Lowercase Letter
ValueCountFrequency (%)
i 2530
25.0%
n 2530
25.0%
a 1265
12.5%
k 1265
12.5%
o 1265
12.5%
t 1265
12.5%
ValueCountFrequency (%)
i 2470
25.0%
n 2470
25.0%
a 1235
12.5%
k 1235
12.5%
o 1235
12.5%
t 1235
12.5%
Uppercase Letter
ValueCountFrequency (%)
M 1265
33.3%
L 1265
33.3%
U 1265
33.3%
ValueCountFrequency (%)
M 1235
33.3%
L 1235
33.3%
U 1235
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 13915
55.0%
Common 11385
45.0%
ValueCountFrequency (%)
Latin 13585
55.0%
Common 11115
45.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3795
33.3%
1 2984
26.2%
2 1661
14.6%
0 1265
 
11.1%
3 869
 
7.6%
5 811
 
7.1%
ValueCountFrequency (%)
- 3705
33.3%
1 2890
26.0%
2 1647
14.8%
0 1235
 
11.1%
3 823
 
7.4%
5 815
 
7.3%
Latin
ValueCountFrequency (%)
i 2530
18.2%
n 2530
18.2%
M 1265
9.1%
a 1265
9.1%
k 1265
9.1%
o 1265
9.1%
L 1265
9.1%
U 1265
9.1%
t 1265
9.1%
ValueCountFrequency (%)
i 2470
18.2%
n 2470
18.2%
M 1235
9.1%
a 1235
9.1%
k 1235
9.1%
o 1235
9.1%
L 1235
9.1%
U 1235
9.1%
t 1235
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25300
100.0%
ValueCountFrequency (%)
ASCII 24700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3795
15.0%
1 2984
11.8%
i 2530
10.0%
n 2530
10.0%
2 1661
 
6.6%
M 1265
 
5.0%
a 1265
 
5.0%
k 1265
 
5.0%
o 1265
 
5.0%
L 1265
 
5.0%
Other values (5) 5475
21.6%
ValueCountFrequency (%)
- 3705
15.0%
1 2890
11.7%
i 2470
10.0%
n 2470
10.0%
2 1647
 
6.7%
M 1235
 
5.0%
a 1235
 
5.0%
k 1235
 
5.0%
o 1235
 
5.0%
L 1235
 
5.0%
Other values (5) 5343
21.6%

Assembly_Line_No
Categorical

 Machine FailureNo Machine Failure
Distinct33
Distinct (%)0.2%0.2%
Missing00
Missing (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
Shopfloor-L1
454 
Shopfloor-L3
415 
Shopfloor-L2
396 
Shopfloor-L1
420 
Shopfloor-L2
412 
Shopfloor-L3
403 

Length

 Machine FailureNo Machine Failure
Max length1212
Median length1212
Mean length1212
Min length1212

Characters and Unicode

 Machine FailureNo Machine Failure
Total characters1518014820
Distinct characters1212
Distinct categories44 ?
Distinct scripts22 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Machine FailureNo Machine Failure
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Machine FailureNo Machine Failure
1st rowShopfloor-L1Shopfloor-L3
2nd rowShopfloor-L1Shopfloor-L3
3rd rowShopfloor-L3Shopfloor-L3
4th rowShopfloor-L2Shopfloor-L3
5th rowShopfloor-L1Shopfloor-L2

Common Values

ValueCountFrequency (%)
Shopfloor-L1 454
35.9%
Shopfloor-L3 415
32.8%
Shopfloor-L2 396
31.3%
ValueCountFrequency (%)
Shopfloor-L1 420
34.0%
Shopfloor-L2 412
33.4%
Shopfloor-L3 403
32.6%

Length

2024-12-05T01:42:26.037332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

Machine Failure

2024-12-05T01:42:26.121864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:26.203392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
shopfloor-l1 454
35.9%
shopfloor-l3 415
32.8%
shopfloor-l2 396
31.3%
ValueCountFrequency (%)
shopfloor-l1 420
34.0%
shopfloor-l2 412
33.4%
shopfloor-l3 403
32.6%

Most occurring characters

ValueCountFrequency (%)
o 3795
25.0%
S 1265
 
8.3%
h 1265
 
8.3%
p 1265
 
8.3%
f 1265
 
8.3%
l 1265
 
8.3%
r 1265
 
8.3%
- 1265
 
8.3%
L 1265
 
8.3%
1 454
 
3.0%
Other values (2) 811
 
5.3%
ValueCountFrequency (%)
o 3705
25.0%
S 1235
 
8.3%
h 1235
 
8.3%
p 1235
 
8.3%
f 1235
 
8.3%
l 1235
 
8.3%
r 1235
 
8.3%
- 1235
 
8.3%
L 1235
 
8.3%
1 420
 
2.8%
Other values (2) 815
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10120
66.7%
Uppercase Letter 2530
 
16.7%
Dash Punctuation 1265
 
8.3%
Decimal Number 1265
 
8.3%
ValueCountFrequency (%)
Lowercase Letter 9880
66.7%
Uppercase Letter 2470
 
16.7%
Dash Punctuation 1235
 
8.3%
Decimal Number 1235
 
8.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3795
37.5%
h 1265
 
12.5%
p 1265
 
12.5%
f 1265
 
12.5%
l 1265
 
12.5%
r 1265
 
12.5%
ValueCountFrequency (%)
o 3705
37.5%
h 1235
 
12.5%
p 1235
 
12.5%
f 1235
 
12.5%
l 1235
 
12.5%
r 1235
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 1265
50.0%
L 1265
50.0%
ValueCountFrequency (%)
S 1235
50.0%
L 1235
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1265
100.0%
ValueCountFrequency (%)
- 1235
100.0%
Decimal Number
ValueCountFrequency (%)
1 454
35.9%
3 415
32.8%
2 396
31.3%
ValueCountFrequency (%)
1 420
34.0%
2 412
33.4%
3 403
32.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 12650
83.3%
Common 2530
 
16.7%
ValueCountFrequency (%)
Latin 12350
83.3%
Common 2470
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 3795
30.0%
S 1265
 
10.0%
h 1265
 
10.0%
p 1265
 
10.0%
f 1265
 
10.0%
l 1265
 
10.0%
r 1265
 
10.0%
L 1265
 
10.0%
ValueCountFrequency (%)
o 3705
30.0%
S 1235
 
10.0%
h 1235
 
10.0%
p 1235
 
10.0%
f 1235
 
10.0%
l 1235
 
10.0%
r 1235
 
10.0%
L 1235
 
10.0%
Common
ValueCountFrequency (%)
- 1265
50.0%
1 454
 
17.9%
3 415
 
16.4%
2 396
 
15.7%
ValueCountFrequency (%)
- 1235
50.0%
1 420
 
17.0%
2 412
 
16.7%
3 403
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15180
100.0%
ValueCountFrequency (%)
ASCII 14820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 3795
25.0%
S 1265
 
8.3%
h 1265
 
8.3%
p 1265
 
8.3%
f 1265
 
8.3%
l 1265
 
8.3%
r 1265
 
8.3%
- 1265
 
8.3%
L 1265
 
8.3%
1 454
 
3.0%
Other values (2) 811
 
5.3%
ValueCountFrequency (%)
o 3705
25.0%
S 1235
 
8.3%
h 1235
 
8.3%
p 1235
 
8.3%
f 1235
 
8.3%
l 1235
 
8.3%
r 1235
 
8.3%
- 1235
 
8.3%
L 1235
 
8.3%
1 420
 
2.8%
Other values (2) 815
 
5.5%

Hydraulic_Pressure(bar)
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct9311047
Distinct (%)73.7%85.4%
Missing19
Missing (%)0.1%0.7%
Infinite00
Infinite (%)0.0%0.0%
Mean84.760498118.57369
 Machine FailureNo Machine Failure
Minimum50.14-14.326454
Maximum191179.8861
Zeros00
Zeros (%)0.0%0.0%
Negative01
Negative (%)0.0%0.1%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:26.316916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum50.14-14.326454
5-th percentile53.54880.726488
Q164.8025101.3145
median80.13120.20255
Q394.29136.22012
95-th percentile141.14155.45797
Maximum191179.8861
Range140.86194.21255
Interquartile range (IQR)29.487534.905623

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation26.34138423.829291
Coefficient of variation (CV)0.310774290.20096609
Kurtosis0.74319690.33429876
Mean84.760498118.57369
Median Absolute Deviation (MAD)14.6116.835144
Skewness1.1469972-0.31615011
Sum107137.27145371.35
Variance693.86851567.83512
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:26.440445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.04 16
 
1.3%
80.27 16
 
1.3%
142.36 15
 
1.2%
125.95 15
 
1.2%
137.37 15
 
1.2%
135.93 15
 
1.2%
134.02 15
 
1.2%
134.54 15
 
1.2%
98.7 15
 
1.2%
61.73 15
 
1.2%
Other values (921) 1112
87.9%
ValueCountFrequency (%)
89.4587468 20
 
1.6%
90.4587468 20
 
1.6%
88.27913423 20
 
1.6%
82.9688079 19
 
1.5%
80.726488 19
 
1.5%
81.1382212 19
 
1.5%
92.8557399 18
 
1.5%
73.5721609 18
 
1.5%
70.46602 7
 
0.6%
72.46602 7
 
0.6%
Other values (1037) 1059
85.7%
(Missing) 9
 
0.7%
ValueCountFrequency (%)
50.14 1
0.1%
50.15 2
0.2%
50.16 1
0.1%
50.23 2
0.2%
50.24 1
0.1%
50.36 1
0.1%
50.39 1
0.1%
50.41 1
0.1%
50.54 1
0.1%
50.59 1
0.1%
ValueCountFrequency (%)
-14.32645418 1
 
0.1%
15.32576081 1
 
0.1%
57.95490946 1
 
0.1%
67.14 1
 
0.1%
67.44535332 1
 
0.1%
69.46602 7
0.6%
70.46602 7
0.6%
70.74977393 1
 
0.1%
71.46602 7
0.6%
72.46602 7
0.6%
ValueCountFrequency (%)
-14.32645418 1
 
0.1%
15.32576081 1
 
0.1%
57.95490946 1
 
0.1%
67.14 1
 
0.1%
67.44535332 1
 
0.1%
69.46602 7
0.6%
70.46602 7
0.6%
70.74977393 1
 
0.1%
71.46602 7
0.6%
72.46602 7
0.6%
ValueCountFrequency (%)
50.14 1
0.1%
50.15 2
0.2%
50.16 1
0.1%
50.23 2
0.2%
50.24 1
0.1%
50.36 1
0.1%
50.39 1
0.1%
50.41 1
0.1%
50.54 1
0.1%
50.59 1
0.1%

Coolant_Pressure(bar)
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct782846
Distinct (%)61.8%69.6%
Missing019
Missing (%)0.0%1.5%
Infinite00
Infinite (%)0.0%0.0%
Mean5.11490014.7724535
 Machine FailureNo Machine Failure
Minimum0.3253.0531488
Maximum6.960635911.35
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:26.578972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum0.3253.0531488
5-th percentile4.10613333.0534514
Q14.54603243.8888347
median4.79139665.1601607
Q35.56785665.4745294
95-th percentile6.89318195.9335646
Maximum6.960635911.35
Range6.63563598.2968512
Interquartile range (IQR)1.02182411.5856948

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation0.919927151.0440979
Coefficient of variation (CV)0.179852420.21877592
Kurtosis0.100599491.3267653
Mean5.11490014.7724535
Median Absolute Deviation (MAD)0.302571130.42044717
Skewness0.83544807-0.21984784
Sum6470.34865803.3035
Variance0.846265961.0901404
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:26.736026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.839413159 50
 
4.0%
6.893181921 50
 
4.0%
5.918357337 50
 
4.0%
6.560332199 50
 
4.0%
5.567856573 50
 
4.0%
4.566853902 50
 
4.0%
6.863944117 50
 
4.0%
4.84252053 50
 
4.0%
6.960635908 26
 
2.1%
5.358623507 26
 
2.1%
Other values (772) 813
64.3%
ValueCountFrequency (%)
3.895031347 40
 
3.2%
3.888834693 40
 
3.2%
3.164804649 40
 
3.2%
3.106960002 40
 
3.2%
3.126011472 40
 
3.2%
3.053148837 39
 
3.2%
3.053451378 35
 
2.8%
3.105982448 33
 
2.7%
3.178193346 8
 
0.6%
3.140995239 8
 
0.6%
Other values (836) 893
72.3%
(Missing) 19
 
1.5%
ValueCountFrequency (%)
0.325 1
0.1%
3.598775576 1
0.1%
3.625166945 1
0.1%
3.640520298 1
0.1%
3.677968801 1
0.1%
3.687803679 1
0.1%
3.687906292 1
0.1%
3.688978761 1
0.1%
3.69055705 1
0.1%
3.692199112 1
0.1%
ValueCountFrequency (%)
3.053148837 39
3.2%
3.053451378 35
2.8%
3.105982448 33
2.7%
3.106960002 40
3.2%
3.126011472 40
3.2%
3.140995239 8
 
0.6%
3.164804649 40
3.2%
3.166083167 8
 
0.6%
3.166768986 8
 
0.6%
3.178193346 8
 
0.6%
ValueCountFrequency (%)
3.053148837 39
3.1%
3.053451378 35
2.8%
3.105982448 33
2.6%
3.106960002 40
3.2%
3.126011472 40
3.2%
3.140995239 8
 
0.6%
3.164804649 40
3.2%
3.166083167 8
 
0.6%
3.166768986 8
 
0.6%
3.178193346 8
 
0.6%
ValueCountFrequency (%)
0.325 1
0.1%
3.598775576 1
0.1%
3.625166945 1
0.1%
3.640520298 1
0.1%
3.677968801 1
0.1%
3.687803679 1
0.1%
3.687906292 1
0.1%
3.688978761 1
0.1%
3.69055705 1
0.1%
3.692199112 1
0.1%

Air_System_Pressure(bar)
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct12531219
Distinct (%)99.7%99.4%
Missing89
Missing (%)0.6%0.7%
Infinite00
Infinite (%)0.0%0.0%
Mean6.50297976.4954758
 Machine FailureNo Machine Failure
Minimum5.063485.2838334
Maximum7.97399157.7811509
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:26.877553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum5.063485.2838334
5-th percentile5.84675485.78528
Q16.22522476.2077663
median6.51411846.4963997
Q36.77537496.7872089
95-th percentile7.14633767.1475323
Maximum7.97399157.7811509
Range2.91051152.4973174
Interquartile range (IQR)0.55015020.57944258

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation0.399438370.41529385
Coefficient of variation (CV)0.06142390.063935863
Kurtosis0.25735226-0.23139853
Mean6.50297976.4954758
Median Absolute Deviation (MAD)0.278421530.2903217
Skewness-0.076139189-0.029655592
Sum8174.24557963.4533
Variance0.159551010.17246898
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:27.015605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.011482601 2
 
0.2%
5.628717474 2
 
0.2%
6.167548538 2
 
0.2%
6.875057514 2
 
0.2%
6.284964506 1
 
0.1%
6.625977349 1
 
0.1%
6.454987861 1
 
0.1%
6.851014359 1
 
0.1%
6.546397488 1
 
0.1%
6.694545638 1
 
0.1%
Other values (1243) 1243
98.3%
(Missing) 8
 
0.6%
ValueCountFrequency (%)
5.955234644 2
 
0.2%
6.668244826 2
 
0.2%
5.928643257 2
 
0.2%
6.753559682 2
 
0.2%
6.430073321 2
 
0.2%
6.836188036 2
 
0.2%
6.940606305 2
 
0.2%
6.002229092 1
 
0.1%
6.570121899 1
 
0.1%
6.920052926 1
 
0.1%
Other values (1209) 1209
97.9%
(Missing) 9
 
0.7%
ValueCountFrequency (%)
5.063480035 1
0.1%
5.091411159 1
0.1%
5.151876018 1
0.1%
5.305505788 1
0.1%
5.4183556 1
0.1%
5.418400521 1
0.1%
5.420784643 1
0.1%
5.456958909 1
0.1%
5.471375096 1
0.1%
5.5273256 1
0.1%
ValueCountFrequency (%)
5.283833449 1
0.1%
5.329776651 1
0.1%
5.366874865 1
0.1%
5.384449305 1
0.1%
5.399351647 1
0.1%
5.431781501 1
0.1%
5.479329636 1
0.1%
5.522279489 1
0.1%
5.528620937 1
0.1%
5.539618105 1
0.1%
ValueCountFrequency (%)
5.283833449 1
0.1%
5.329776651 1
0.1%
5.366874865 1
0.1%
5.384449305 1
0.1%
5.399351647 1
0.1%
5.431781501 1
0.1%
5.479329636 1
0.1%
5.522279489 1
0.1%
5.528620937 1
0.1%
5.539618105 1
0.1%
ValueCountFrequency (%)
5.063480035 1
0.1%
5.091411159 1
0.1%
5.151876018 1
0.1%
5.305505788 1
0.1%
5.4183556 1
0.1%
5.418400521 1
0.1%
5.420784643 1
0.1%
5.456958909 1
0.1%
5.471375096 1
0.1%
5.5273256 1
0.1%

Coolant_Temperature
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct238118
Distinct (%)18.8%9.6%
Missing012
Missing (%)0.0%1.0%
Infinite00
Infinite (%)0.0%0.0%
Mean19.98308317.087817
 Machine FailureNo Machine Failure
Minimum4.14.5
Maximum36.598.2
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:27.169135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum4.14.5
5-th percentile5.94.62
Q112.38.7
median2320.6
Q326.523.9
95-th percentile30.327.97
Maximum36.598.2
Range32.493.7
Interquartile range (IQR)14.215.2

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation8.378128.4889544
Coefficient of variation (CV)0.419260630.49678403
Kurtosis-1.21193015.1721413
Mean19.98308317.087817
Median Absolute Deviation (MAD)6.17.9
Skewness-0.379864320.61734116
Sum25278.620898.4
Variance70.19289472.062347
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:27.318185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.4 71
 
5.6%
25.6 69
 
5.5%
24.4 68
 
5.4%
28.7 68
 
5.4%
27 67
 
5.3%
29.8 67
 
5.3%
30.3 66
 
5.2%
25.8 18
 
1.4%
13.4 17
 
1.3%
8.6 16
 
1.3%
Other values (228) 738
58.3%
ValueCountFrequency (%)
8.7 62
 
5.0%
11.9 62
 
5.0%
5.7 62
 
5.0%
6.8 62
 
5.0%
7.4 62
 
5.0%
9.9 62
 
5.0%
10.6 62
 
5.0%
12.2 62
 
5.0%
4.5 62
 
5.0%
21.7 16
 
1.3%
Other values (108) 649
52.6%
ValueCountFrequency (%)
4.1 6
0.5%
4.2 5
0.4%
4.3 2
 
0.2%
4.4 3
0.2%
4.5 6
0.5%
4.6 2
 
0.2%
4.7 1
 
0.1%
4.8 2
 
0.2%
4.9 7
0.6%
5 6
0.5%
ValueCountFrequency (%)
4.5 62
5.0%
5.7 62
5.0%
6.8 62
5.0%
7.4 62
5.0%
8.7 62
5.0%
9.9 62
5.0%
10.6 62
5.0%
11.9 62
5.0%
12.2 62
5.0%
20.1 5
 
0.4%
ValueCountFrequency (%)
4.5 62
4.9%
5.7 62
4.9%
6.8 62
4.9%
7.4 62
4.9%
8.7 62
4.9%
9.9 62
4.9%
10.6 62
4.9%
11.9 62
4.9%
12.2 62
4.9%
20.1 5
 
0.4%
ValueCountFrequency (%)
4.1 6
0.5%
4.2 5
0.4%
4.3 2
 
0.2%
4.4 3
0.2%
4.5 6
0.5%
4.6 2
 
0.2%
4.7 1
 
0.1%
4.8 2
 
0.2%
4.9 7
0.6%
5 6
0.5%

Hydraulic_Oil_Temperature
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct190187
Distinct (%)15.1%15.3%
Missing511
Missing (%)0.4%0.9%
Infinite00
Infinite (%)0.0%0.0%
Mean47.57134947.666667
 Machine FailureNo Machine Failure
Minimum35.235.8
Maximum59.561.4
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:27.471715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum35.235.8
5-th percentile41.09541.515
Q145.145.1
median47.647.7
Q350.150.1
95-th percentile53.70553.7
Maximum59.561.4
Range24.325.6
Interquartile range (IQR)55

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation3.79104083.7464445
Coefficient of variation (CV)0.0796916810.078596737
Kurtosis0.0147195540.063293658
Mean47.57134947.666667
Median Absolute Deviation (MAD)2.52.5
Skewness-0.0432034010.042276368
Sum59939.958344
Variance14.3719914.035846
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:27.620767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.6 18
 
1.4%
47.9 18
 
1.4%
47.5 17
 
1.3%
49.5 17
 
1.3%
45.4 17
 
1.3%
46.2 17
 
1.3%
45.2 16
 
1.3%
49.6 16
 
1.3%
48.5 16
 
1.3%
50 16
 
1.3%
Other values (180) 1092
86.3%
ValueCountFrequency (%)
49.3 19
 
1.5%
48 18
 
1.5%
44.7 17
 
1.4%
45.5 17
 
1.4%
47.3 16
 
1.3%
47.2 16
 
1.3%
50 16
 
1.3%
48.9 16
 
1.3%
44.8 15
 
1.2%
47 15
 
1.2%
Other values (177) 1059
85.7%
ValueCountFrequency (%)
35.2 1
0.1%
36.2 1
0.1%
36.4 1
0.1%
37.1 1
0.1%
37.4 1
0.1%
37.5 1
0.1%
37.6 1
0.1%
37.8 2
0.2%
38.1 1
0.1%
38.5 1
0.1%
ValueCountFrequency (%)
35.8 1
 
0.1%
36.1 1
 
0.1%
36.9 1
 
0.1%
37.8 1
 
0.1%
38.2 1
 
0.1%
38.3 2
0.2%
38.7 2
0.2%
38.8 3
0.2%
39 1
 
0.1%
39.1 2
0.2%
ValueCountFrequency (%)
35.8 1
 
0.1%
36.1 1
 
0.1%
36.9 1
 
0.1%
37.8 1
 
0.1%
38.2 1
 
0.1%
38.3 2
0.2%
38.7 2
0.2%
38.8 3
0.2%
39 1
 
0.1%
39.1 2
0.2%
ValueCountFrequency (%)
35.2 1
0.1%
36.2 1
0.1%
36.4 1
0.1%
37.1 1
0.1%
37.4 1
0.1%
37.5 1
0.1%
37.6 1
0.1%
37.8 2
0.2%
38.1 1
0.1%
38.5 1
0.1%
 Machine FailureNo Machine Failure
Distinct181182
Distinct (%)14.3%14.8%
Missing25
Missing (%)0.2%0.4%
Infinite00
Infinite (%)0.0%0.0%
Mean34.9913735.137967
 Machine FailureNo Machine Failure
Minimum23.222.6
Maximum49.546
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:27.762295image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum23.222.6
5-th percentile28.7129.2
Q132.432.6
median3535.1
Q337.637.6
95-th percentile41.1941.1
Maximum49.546
Range26.323.4
Interquartile range (IQR)5.25

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation3.83168623.6949922
Coefficient of variation (CV)0.109503750.10515669
Kurtosis-0.050887256-0.034881651
Mean34.9913735.137967
Median Absolute Deviation (MAD)2.62.5
Skewness-0.0092472753-0.062010752
Sum44194.143219.7
Variance14.68181913.652967
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:27.911350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.2 20
 
1.6%
33.8 19
 
1.5%
35.3 18
 
1.4%
34.9 17
 
1.3%
38.6 17
 
1.3%
33.3 16
 
1.3%
34.1 16
 
1.3%
37.6 16
 
1.3%
36.6 16
 
1.3%
36 15
 
1.2%
Other values (171) 1093
86.4%
ValueCountFrequency (%)
34.6 22
 
1.8%
33.7 20
 
1.6%
35.2 20
 
1.6%
37.5 19
 
1.5%
37 19
 
1.5%
35.5 17
 
1.4%
34 17
 
1.4%
34.1 16
 
1.3%
36.8 15
 
1.2%
37.6 15
 
1.2%
Other values (172) 1050
85.0%
ValueCountFrequency (%)
23.2 1
0.1%
23.4 1
0.1%
23.5 1
0.1%
23.8 1
0.1%
24 2
0.2%
24.1 1
0.1%
24.9 1
0.1%
25.3 1
0.1%
25.6 1
0.1%
26.2 2
0.2%
ValueCountFrequency (%)
22.6 1
0.1%
24.8 1
0.1%
24.9 1
0.1%
25.2 2
0.2%
25.3 1
0.1%
25.4 1
0.1%
25.5 2
0.2%
25.6 1
0.1%
26.2 2
0.2%
26.3 2
0.2%
ValueCountFrequency (%)
22.6 1
0.1%
24.8 1
0.1%
24.9 1
0.1%
25.2 2
0.2%
25.3 1
0.1%
25.4 1
0.1%
25.5 2
0.2%
25.6 1
0.1%
26.2 2
0.2%
26.3 2
0.2%
ValueCountFrequency (%)
23.2 1
0.1%
23.4 1
0.1%
23.5 1
0.1%
23.8 1
0.1%
24 2
0.2%
24.1 1
0.1%
24.9 1
0.1%
25.3 1
0.1%
25.6 1
0.1%
26.2 2
0.2%

Spindle_Vibration
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct817781
Distinct (%)64.8%63.6%
Missing47
Missing (%)0.3%0.6%
Infinite00
Infinite (%)0.0%0.0%
Mean1.00369631.0151238
 Machine FailureNo Machine Failure
Minimum0.033-0.461
Maximum21.994
Zeros00
Zeros (%)0.0%0.0%
Negative01
Negative (%)0.0%0.1%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:28.053883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum0.033-0.461
5-th percentile0.4230.47905
Q10.7780.77675
median0.9961.0205
Q31.2411.231
95-th percentile1.591.59185
Maximum21.994
Range1.9672.455
Interquartile range (IQR)0.4630.45425

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation0.346737570.3389537
Coefficient of variation (CV)0.345460650.33390381
Kurtosis-0.169728580.15851884
Mean1.00369631.0151238
Median Absolute Deviation (MAD)0.2320.228
Skewness0.040548026-0.038971128
Sum1265.6611246.572
Variance0.120226940.11488961
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:28.197936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.319 6
 
0.5%
1.072 5
 
0.4%
0.951 5
 
0.4%
1.127 5
 
0.4%
0.782 5
 
0.4%
0.855 5
 
0.4%
1.45 5
 
0.4%
0.572 4
 
0.3%
0.996 4
 
0.3%
0.964 4
 
0.3%
Other values (807) 1213
95.9%
ValueCountFrequency (%)
1.158 6
 
0.5%
1.286 5
 
0.4%
1.17 5
 
0.4%
1.151 5
 
0.4%
0.702 5
 
0.4%
1.223 5
 
0.4%
1.175 5
 
0.4%
0.912 5
 
0.4%
1.231 5
 
0.4%
0.879 5
 
0.4%
Other values (771) 1177
95.3%
(Missing) 7
 
0.6%
ValueCountFrequency (%)
0.033 1
0.1%
0.088 1
0.1%
0.107 1
0.1%
0.172 1
0.1%
0.173 1
0.1%
0.176 1
0.1%
0.182 1
0.1%
0.184 1
0.1%
0.215 1
0.1%
0.216 2
0.2%
ValueCountFrequency (%)
-0.461 1
 
0.1%
0.01 3
0.2%
0.012 1
 
0.1%
0.076 1
 
0.1%
0.141 1
 
0.1%
0.156 1
 
0.1%
0.159 1
 
0.1%
0.16 1
 
0.1%
0.182 1
 
0.1%
0.197 1
 
0.1%
ValueCountFrequency (%)
-0.461 1
 
0.1%
0.01 3
0.2%
0.012 1
 
0.1%
0.076 1
 
0.1%
0.141 1
 
0.1%
0.156 1
 
0.1%
0.159 1
 
0.1%
0.16 1
 
0.1%
0.182 1
 
0.1%
0.197 1
 
0.1%
ValueCountFrequency (%)
0.033 1
0.1%
0.088 1
0.1%
0.107 1
0.1%
0.172 1
0.1%
0.173 1
0.1%
0.176 1
0.1%
0.182 1
0.1%
0.184 1
0.1%
0.215 1
0.1%
0.216 2
0.2%

Tool_Vibration
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct12121197
Distinct (%)96.3%97.3%
Missing65
Missing (%)0.5%0.4%
Infinite00
Infinite (%)0.0%0.0%
Mean25.37451625.450317
 Machine FailureNo Machine Failure
Minimum5.7752.161
Maximum45.49245.726
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:29.058799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum5.7752.161
5-th percentile14.342715.29185
Q121.058521.1335
median25.32825.57
Q329.74729.79975
95-th percentile36.074535.6033
Maximum45.49245.726
Range39.71743.565
Interquartile range (IQR)8.68858.66625

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation6.50416436.3702259
Coefficient of variation (CV)0.256326630.25030045
Kurtosis-0.0120913220.029442545
Mean25.37451625.450317
Median Absolute Deviation (MAD)4.3674.3255
Skewness-0.059042187-0.062438042
Sum31946.51631303.89
Variance42.30415340.579778
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:29.222841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.128 2
 
0.2%
28.693 2
 
0.2%
24.553 2
 
0.2%
28.178 2
 
0.2%
27.441 2
 
0.2%
22.892 2
 
0.2%
27.886 2
 
0.2%
23.019 2
 
0.2%
25.98 2
 
0.2%
24.991 2
 
0.2%
Other values (1202) 1239
97.9%
(Missing) 6
 
0.5%
ValueCountFrequency (%)
25.913 2
 
0.2%
15.204 2
 
0.2%
18.007 2
 
0.2%
23.781 2
 
0.2%
19.49 2
 
0.2%
25.661 2
 
0.2%
24.791 2
 
0.2%
29.79 2
 
0.2%
24.189 2
 
0.2%
22.89 2
 
0.2%
Other values (1187) 1210
98.0%
(Missing) 5
 
0.4%
ValueCountFrequency (%)
5.775 1
0.1%
5.892 1
0.1%
6.338 1
0.1%
6.539 1
0.1%
7.286 1
0.1%
7.817 1
0.1%
8.188 1
0.1%
8.496 1
0.1%
8.928 1
0.1%
9.101 1
0.1%
ValueCountFrequency (%)
2.161 1
0.1%
3.469 1
0.1%
6.886 1
0.1%
6.977 1
0.1%
8.388 1
0.1%
8.5 1
0.1%
8.528 1
0.1%
8.644 1
0.1%
9.138 1
0.1%
9.694 1
0.1%
ValueCountFrequency (%)
2.161 1
0.1%
3.469 1
0.1%
6.886 1
0.1%
6.977 1
0.1%
8.388 1
0.1%
8.5 1
0.1%
8.528 1
0.1%
8.644 1
0.1%
9.138 1
0.1%
9.694 1
0.1%
ValueCountFrequency (%)
5.775 1
0.1%
5.892 1
0.1%
6.338 1
0.1%
6.539 1
0.1%
7.286 1
0.1%
7.817 1
0.1%
8.188 1
0.1%
8.496 1
0.1%
8.928 1
0.1%
9.101 1
0.1%

Spindle_Speed(RPM)
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct568612
Distinct (%)44.9%49.8%
Missing06
Missing (%)0.0%0.5%
Infinite00
Infinite (%)0.0%0.0%
Mean21319.36119199.626
 Machine FailureNo Machine Failure
Minimum013272
Maximum2795727882
Zeros70
Zeros (%)0.6%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:29.360362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum013272
5-th percentile16189.213272
Q11846116198
median1996420194
Q32552821688
95-th percentile2761323466.8
Maximum2795727882
Range2795714610
Interquartile range (IQR)70675490

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation4123.21333217.6066
Coefficient of variation (CV)0.193402290.16758695
Kurtosis2.3778197-0.95916698
Mean21319.36119199.626
Median Absolute Deviation (MAD)20452239
Skewness-0.39227496-0.39456153
Sum2696899223596340
Variance1700088810352992
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:29.479635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23432 76
 
6.0%
26526 76
 
6.0%
27613 76
 
6.0%
26605 76
 
6.0%
20504 76
 
6.0%
21951 76
 
6.0%
17919 52
 
4.1%
25528 52
 
4.1%
27957 52
 
4.1%
20801 26
 
2.1%
Other values (558) 627
49.6%
ValueCountFrequency (%)
17726 93
 
7.5%
16198 68
 
5.5%
18436 68
 
5.5%
14266 65
 
5.3%
13272 65
 
5.3%
19197 65
 
5.3%
14152 65
 
5.3%
15217 65
 
5.3%
20018 4
 
0.3%
20449 3
 
0.2%
Other values (602) 668
54.1%
(Missing) 6
 
0.5%
ValueCountFrequency (%)
0 7
0.6%
12788 1
 
0.1%
13168 1
 
0.1%
13617 1
 
0.1%
13676 1
 
0.1%
13704 1
 
0.1%
13766 1
 
0.1%
13853 1
 
0.1%
13888 1
 
0.1%
13977 1
 
0.1%
ValueCountFrequency (%)
13272 65
5.3%
14152 65
5.3%
14266 65
5.3%
15217 65
5.3%
16198 68
5.5%
17726 93
7.5%
18436 68
5.5%
19197 65
5.3%
20016 2
 
0.2%
20018 4
 
0.3%
ValueCountFrequency (%)
13272 65
5.1%
14152 65
5.1%
14266 65
5.1%
15217 65
5.1%
16198 68
5.4%
17726 93
7.4%
18436 68
5.4%
19197 65
5.1%
20016 2
 
0.2%
20018 4
 
0.3%
ValueCountFrequency (%)
0 7
0.6%
12788 1
 
0.1%
13168 1
 
0.1%
13617 1
 
0.1%
13676 1
 
0.1%
13704 1
 
0.1%
13766 1
 
0.1%
13853 1
 
0.1%
13888 1
 
0.1%
13977 1
 
0.1%

Voltage(volts)
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct210215
Distinct (%)16.6%17.5%
Missing06
Missing (%)0.0%0.5%
Infinite00
Infinite (%)0.0%0.0%
Mean349.2585348.72742
 Machine FailureNo Machine Failure
Minimum202207
Maximum473479
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:29.606453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum202207
5-th percentile275.2274
Q1319319
median348350
Q3380379
95-th percentile423421
Maximum473479
Range271272
Interquartile range (IQR)6160

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation45.31804345.4525
Coefficient of variation (CV)0.129755020.13033819
Kurtosis-0.15743087-0.019438818
Mean349.2585348.72742
Median Absolute Deviation (MAD)3030
Skewness0.0091653566-0.067180128
Sum441812428586
Variance2053.72512065.9297
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:29.749979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
363 18
 
1.4%
341 18
 
1.4%
356 15
 
1.2%
340 15
 
1.2%
334 14
 
1.1%
333 14
 
1.1%
330 14
 
1.1%
337 14
 
1.1%
354 14
 
1.1%
343 13
 
1.0%
Other values (200) 1116
88.2%
ValueCountFrequency (%)
359 21
 
1.7%
360 18
 
1.5%
362 16
 
1.3%
364 15
 
1.2%
337 15
 
1.2%
367 15
 
1.2%
361 14
 
1.1%
312 14
 
1.1%
334 14
 
1.1%
326 13
 
1.1%
Other values (205) 1074
87.0%
ValueCountFrequency (%)
202 2
0.2%
223 1
 
0.1%
225 1
 
0.1%
230 1
 
0.1%
235 1
 
0.1%
236 1
 
0.1%
237 1
 
0.1%
238 1
 
0.1%
240 2
0.2%
246 4
0.3%
ValueCountFrequency (%)
207 1
0.1%
211 1
0.1%
221 1
0.1%
227 1
0.1%
228 1
0.1%
229 1
0.1%
230 2
0.2%
231 1
0.1%
234 2
0.2%
236 2
0.2%
ValueCountFrequency (%)
207 1
0.1%
211 1
0.1%
221 1
0.1%
227 1
0.1%
228 1
0.1%
229 1
0.1%
230 2
0.2%
231 1
0.1%
234 2
0.2%
236 2
0.2%
ValueCountFrequency (%)
202 2
0.2%
223 1
 
0.1%
225 1
 
0.1%
230 1
 
0.1%
235 1
 
0.1%
236 1
 
0.1%
237 1
 
0.1%
238 1
 
0.1%
240 2
0.2%
246 4
0.3%

Torque(Nm)
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct750578
Distinct (%)59.7%47.3%
Missing912
Missing (%)0.7%1.0%
Infinite00
Infinite (%)0.0%0.0%
Mean22.76099827.775692
 Machine FailureNo Machine Failure
Minimum00
Maximum36.25470855.5524
Zeros11
Zeros (%)0.1%0.1%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:29.903666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum00
5-th percentile14.2028920.274258
Q116.96410522.231112
median24.62802828.38124
Q326.32380833.923365
95-th percentile29.46653335.581221
Maximum36.25470855.5524
Range36.25470855.5524
Interquartile range (IQR)9.359703311.692253

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation5.20813955.983624
Coefficient of variation (CV)0.228818590.21542664
Kurtosis-0.91088045-1.0662484
Mean22.76099827.775692
Median Absolute Deviation (MAD)2.66690745.6618758
Skewness-0.441522110.052772871
Sum28587.81333969.672
Variance27.12471735.803756
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:30.047303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.20288973 64
 
5.1%
17.89931102 64
 
5.1%
16.96410507 64
 
5.1%
16.44955444 64
 
5.1%
15.1197393 64
 
5.1%
15.90071615 64
 
5.1%
14.10999444 17
 
1.3%
14.44705039 17
 
1.3%
25.64333674 4
 
0.3%
23.978001 4
 
0.3%
Other values (740) 830
65.6%
(Missing) 9
 
0.7%
ValueCountFrequency (%)
35.58033366 79
 
6.4%
34.97300419 78
 
6.3%
33.92336502 77
 
6.2%
35.5812209 73
 
5.9%
32.37045571 73
 
5.9%
32.51929855 57
 
4.6%
31.62033518 57
 
4.6%
30.51400825 57
 
4.6%
33.35511961 14
 
1.1%
31.5210747 13
 
1.1%
Other values (568) 645
52.2%
ValueCountFrequency (%)
0 1
 
0.1%
14.10999444 17
 
1.3%
14.20288973 64
5.1%
14.44705039 17
 
1.3%
15.1197393 64
5.1%
15.90071615 64
5.1%
16.44955444 64
5.1%
16.96410507 64
5.1%
17.89931102 64
5.1%
20.42361497 1
 
0.1%
ValueCountFrequency (%)
0 1
0.1%
17.1222294 1
0.1%
18.15976264 1
0.1%
18.53772376 1
0.1%
18.74517041 1
0.1%
18.86069848 1
0.1%
18.90176981 1
0.1%
18.97765941 1
0.1%
19.00410016 1
0.1%
19.05187964 1
0.1%
ValueCountFrequency (%)
0 1
0.1%
17.1222294 1
0.1%
18.15976264 1
0.1%
18.53772376 1
0.1%
18.74517041 1
0.1%
18.86069848 1
0.1%
18.90176981 1
0.1%
18.97765941 1
0.1%
19.00410016 1
0.1%
19.05187964 1
0.1%
ValueCountFrequency (%)
0 1
 
0.1%
14.10999444 17
 
1.4%
14.20288973 64
5.2%
14.44705039 17
 
1.4%
15.1197393 64
5.2%
15.90071615 64
5.2%
16.44955444 64
5.2%
16.96410507 64
5.2%
17.89931102 64
5.2%
20.42361497 1
 
0.1%

Cutting(kN)
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct111107
Distinct (%)8.8%8.7%
Missing25
Missing (%)0.2%0.4%
Infinite00
Infinite (%)0.0%0.0%
Mean3.05641332.5013415
 Machine FailureNo Machine Failure
Minimum1.81.85
Maximum3.933.72
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:30.201785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum1.81.85
5-th percentile2.281.86
Q12.551.95
median2.842.7
Q33.592.99
95-th percentile3.913.2255
Maximum3.933.72
Range2.131.87
Interquartile range (IQR)1.041.04

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation0.573028250.52700382
Coefficient of variation (CV)0.187483890.21068847
Kurtosis-1.5719189-1.6635349
Mean3.05641332.5013415
Median Absolute Deviation (MAD)0.550.53
Skewness0.0419747570.03068755
Sum3860.253076.65
Variance0.328361370.27773302
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:30.351070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.55 104
 
8.2%
3.67 104
 
8.2%
3.58 50
 
4.0%
3.59 50
 
4.0%
3.69 50
 
4.0%
3.61 50
 
4.0%
3.93 49
 
3.9%
3.49 49
 
3.9%
3.91 49
 
3.9%
2.57 19
 
1.5%
Other values (101) 689
54.5%
ValueCountFrequency (%)
3 59
 
4.8%
2.88 58
 
4.7%
2.02 57
 
4.6%
1.99 57
 
4.6%
1.95 54
 
4.4%
1.88 53
 
4.3%
2.01 46
 
3.7%
2.11 46
 
3.7%
1.85 45
 
3.6%
1.87 45
 
3.6%
Other values (97) 710
57.5%
ValueCountFrequency (%)
1.8 1
0.1%
1.88 1
0.1%
1.89 2
0.2%
1.94 1
0.1%
1.96 1
0.1%
2 1
0.1%
2.02 2
0.2%
2.03 1
0.1%
2.04 2
0.2%
2.05 2
0.2%
ValueCountFrequency (%)
1.85 45
3.6%
1.86 45
3.6%
1.87 45
3.6%
1.88 53
4.3%
1.89 25
2.0%
1.91 45
3.6%
1.92 1
 
0.1%
1.95 54
4.4%
1.99 57
4.6%
2 12
 
1.0%
ValueCountFrequency (%)
1.85 45
3.6%
1.86 45
3.6%
1.87 45
3.6%
1.88 53
4.2%
1.89 25
2.0%
1.91 45
3.6%
1.92 1
 
0.1%
1.95 54
4.3%
1.99 57
4.5%
2 12
 
0.9%
ValueCountFrequency (%)
1.8 1
0.1%
1.88 1
0.1%
1.89 2
0.2%
1.94 1
0.1%
1.96 1
0.1%
2 1
0.1%
2.02 2
0.2%
2.03 1
0.1%
2.04 2
0.2%
2.05 2
0.2%

Downtime
Categorical

 Machine FailureNo Machine Failure
Distinct11
Distinct (%)0.1%0.1%
Missing00
Missing (%)0.0%0.0%
Memory size19.8 KiB19.3 KiB
Machine_Failure
1265 
No_Machine_Failure
1235 

Length

 Machine FailureNo Machine Failure
Max length1518
Median length1518
Mean length1518
Min length1518

Characters and Unicode

 Machine FailureNo Machine Failure
Total characters1897522230
Distinct characters1214
Distinct categories33 ?
Distinct scripts22 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Machine FailureNo Machine Failure
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Machine FailureNo Machine Failure
1st rowMachine_FailureNo_Machine_Failure
2nd rowMachine_FailureNo_Machine_Failure
3rd rowMachine_FailureNo_Machine_Failure
4th rowMachine_FailureNo_Machine_Failure
5th rowMachine_FailureNo_Machine_Failure

Common Values

ValueCountFrequency (%)
Machine_Failure 1265
100.0%
ValueCountFrequency (%)
No_Machine_Failure 1235
100.0%

Length

2024-12-05T01:42:30.460344image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

Machine Failure

2024-12-05T01:42:30.535653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:30.599547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
machine_failure 1265
100.0%
ValueCountFrequency (%)
no_machine_failure 1235
100.0%

Most occurring characters

ValueCountFrequency (%)
a 2530
13.3%
i 2530
13.3%
e 2530
13.3%
M 1265
6.7%
c 1265
6.7%
h 1265
6.7%
n 1265
6.7%
_ 1265
6.7%
F 1265
6.7%
l 1265
6.7%
Other values (2) 2530
13.3%
ValueCountFrequency (%)
_ 2470
11.1%
a 2470
11.1%
i 2470
11.1%
e 2470
11.1%
N 1235
 
5.6%
o 1235
 
5.6%
M 1235
 
5.6%
c 1235
 
5.6%
h 1235
 
5.6%
n 1235
 
5.6%
Other values (4) 4940
22.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15180
80.0%
Uppercase Letter 2530
 
13.3%
Connector Punctuation 1265
 
6.7%
ValueCountFrequency (%)
Lowercase Letter 16055
72.2%
Uppercase Letter 3705
 
16.7%
Connector Punctuation 2470
 
11.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2530
16.7%
i 2530
16.7%
e 2530
16.7%
c 1265
8.3%
h 1265
8.3%
n 1265
8.3%
l 1265
8.3%
u 1265
8.3%
r 1265
8.3%
ValueCountFrequency (%)
a 2470
15.4%
i 2470
15.4%
e 2470
15.4%
o 1235
7.7%
c 1235
7.7%
h 1235
7.7%
n 1235
7.7%
l 1235
7.7%
u 1235
7.7%
r 1235
7.7%
Uppercase Letter
ValueCountFrequency (%)
M 1265
50.0%
F 1265
50.0%
ValueCountFrequency (%)
N 1235
33.3%
M 1235
33.3%
F 1235
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1265
100.0%
ValueCountFrequency (%)
_ 2470
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17710
93.3%
Common 1265
 
6.7%
ValueCountFrequency (%)
Latin 19760
88.9%
Common 2470
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2530
14.3%
i 2530
14.3%
e 2530
14.3%
M 1265
7.1%
c 1265
7.1%
h 1265
7.1%
n 1265
7.1%
F 1265
7.1%
l 1265
7.1%
u 1265
7.1%
ValueCountFrequency (%)
a 2470
12.5%
i 2470
12.5%
e 2470
12.5%
N 1235
 
6.2%
o 1235
 
6.2%
M 1235
 
6.2%
c 1235
 
6.2%
h 1235
 
6.2%
n 1235
 
6.2%
F 1235
 
6.2%
Other values (3) 3705
18.8%
Common
ValueCountFrequency (%)
_ 1265
100.0%
ValueCountFrequency (%)
_ 2470
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18975
100.0%
ValueCountFrequency (%)
ASCII 22230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2530
13.3%
i 2530
13.3%
e 2530
13.3%
M 1265
6.7%
c 1265
6.7%
h 1265
6.7%
n 1265
6.7%
_ 1265
6.7%
F 1265
6.7%
l 1265
6.7%
Other values (2) 2530
13.3%
ValueCountFrequency (%)
_ 2470
11.1%
a 2470
11.1%
i 2470
11.1%
e 2470
11.1%
N 1235
 
5.6%
o 1235
 
5.6%
M 1235
 
5.6%
c 1235
 
5.6%
h 1235
 
5.6%
n 1235
 
5.6%
Other values (4) 4940
22.2%

month_sin
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct86
Distinct (%)0.6%0.5%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.869036070.86484366
 Machine FailureNo Machine Failure
Minimum-0.5-2.4492936 × 10-16
Maximum11
Zeros00
Zeros (%)0.0%0.0%
Negative1511
Negative (%)1.2%0.9%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:30.664175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum-0.5-2.4492936 × 10-16
5-th percentile0.50.5
Q10.86602540.8660254
median0.86602540.8660254
Q311
95-th percentile11
Maximum11
Range1.51
Interquartile range (IQR)0.13397460.1339746

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation0.187404030.18344383
Coefficient of variation (CV)0.215645860.21211213
Kurtosis9.50810855.1509266
Mean0.869036070.86484366
Median Absolute Deviation (MAD)0.13397460.1339746
Skewness-2.6459352-2.1111529
Sum1099.33061068.0819
Variance0.0351202720.033651638
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:30.749898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 533
42.1%
0.8660254038 296
23.4%
0.8660254038 280
22.1%
0.5 137
 
10.8%
-2.449293598 × 10-1613
 
1.0%
1.224646799 × 10-164
 
0.3%
-0.5 1
 
0.1%
-0.5 1
 
0.1%
ValueCountFrequency (%)
1 515
41.7%
0.8660254038 301
24.4%
0.8660254038 247
20.0%
0.5 157
 
12.7%
-2.449293598 × 10-1611
 
0.9%
1.224646799 × 10-164
 
0.3%
ValueCountFrequency (%)
-0.5 1
 
0.1%
-0.5 1
 
0.1%
-2.449293598 × 10-1613
 
1.0%
1.224646799 × 10-164
 
0.3%
0.5 137
 
10.8%
0.8660254038 296
23.4%
0.8660254038 280
22.1%
1 533
42.1%
ValueCountFrequency (%)
-2.449293598 × 10-1611
 
0.9%
1.224646799 × 10-164
 
0.3%
0.5 157
 
12.7%
0.8660254038 301
24.4%
0.8660254038 247
20.0%
1 515
41.7%
ValueCountFrequency (%)
-2.449293598 × 10-1611
 
0.9%
1.224646799 × 10-164
 
0.3%
0.5 157
 
12.4%
0.8660254038 301
23.8%
0.8660254038 247
19.5%
1 515
40.7%
ValueCountFrequency (%)
-0.5 1
 
0.1%
-0.5 1
 
0.1%
-2.449293598 × 10-1613
 
1.1%
1.224646799 × 10-164
 
0.3%
0.5 137
 
11.1%
0.8660254038 296
24.0%
0.8660254038 280
22.7%
1 533
43.2%

month_cos
Real number (ℝ)

 Machine FailureNo Machine Failure
Distinct97
Distinct (%)0.7%0.6%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.0387691220.045061243
 Machine FailureNo Machine Failure
Minimum-1-1
Maximum11
Zeros00
Zeros (%)0.0%0.0%
Negative335317
Negative (%)26.5%25.7%
Memory size19.8 KiB19.3 KiB
2024-12-05T01:42:30.838819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Machine FailureNo Machine Failure
Minimum-1-1
5-th percentile-0.5-0.8660254
Q1-0.5-0.5
median6.123234 × 10-176.123234 × 10-17
Q30.50.5
95-th percentile0.86602540.8660254
Maximum11
Range22
Interquartile range (IQR)11

Descriptive statistics

 Machine FailureNo Machine Failure
Standard deviation0.456448740.46536641
Coefficient of variation (CV)11.77351210.327421
Kurtosis-0.66060648-0.65590882
Mean0.0387691220.045061243
Median Absolute Deviation (MAD)0.50.5
Skewness0.036071318-0.050351357
Sum49.0429455.650635
Variance0.208345450.21656589
MonotonicityNot monotonicNot monotonic
2024-12-05T01:42:30.929340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6.123233996 × 10-17533
42.1%
0.5 296
23.4%
-0.5 280
22.1%
0.8660254038 87
 
6.9%
-0.8660254038 50
 
4.0%
1 13
 
1.0%
-1 4
 
0.3%
0.8660254038 1
 
0.1%
-0.8660254038 1
 
0.1%
ValueCountFrequency (%)
6.123233996 × 10-17515
41.7%
0.5 301
24.4%
-0.5 247
20.0%
0.8660254038 91
 
7.4%
-0.8660254038 66
 
5.3%
1 11
 
0.9%
-1 4
 
0.3%
ValueCountFrequency (%)
-1 4
 
0.3%
-0.8660254038 1
 
0.1%
-0.8660254038 50
 
4.0%
-0.5 280
22.1%
6.123233996 × 10-17533
42.1%
0.5 296
23.4%
0.8660254038 1
 
0.1%
0.8660254038 87
 
6.9%
1 13
 
1.0%
ValueCountFrequency (%)
-1 4
 
0.3%
-0.8660254038 66
 
5.3%
-0.5 247
20.0%
6.123233996 × 10-17515
41.7%
0.5 301
24.4%
0.8660254038 91
 
7.4%
1 11
 
0.9%
ValueCountFrequency (%)
-1 4
 
0.3%
-0.8660254038 66
 
5.2%
-0.5 247
19.5%
6.123233996 × 10-17515
40.7%
0.5 301
23.8%
0.8660254038 91
 
7.2%
1 11
 
0.9%
ValueCountFrequency (%)
-1 4
 
0.3%
-0.8660254038 1
 
0.1%
-0.8660254038 50
 
4.0%
-0.5 280
22.7%
6.123233996 × 10-17533
43.2%
0.5 296
24.0%
0.8660254038 1
 
0.1%
0.8660254038 87
 
7.0%
1 13
 
1.1%

Interactions

Machine Failure

2024-12-05T01:42:06.504306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.311233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:50.171093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:08.616591image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.164108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.179630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.290056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.169332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.425340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.143347image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.564362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.175563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.961709image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.237929image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.080329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.264740image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.378858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.316491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.524784image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:17.341343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.952227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.995891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.053072image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.045496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.214585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.064116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.347394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.300790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.591833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.396779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:50.256609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:08.700113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.232052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.253145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.376066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.240863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.510868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.214866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.637880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.257077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.039741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.314452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.162849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.350260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.454849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.401017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.606313image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:17.418791image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.027755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.080885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.133605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.122498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.291113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.150663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.418922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.384228image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.677842image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.468777image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:50.334129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:08.767112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.305420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.310672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.455584image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.311394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.608397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.289386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.722402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.325598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.127330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.386460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.249373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.408788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.530520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.471017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.682323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:17.481066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.105286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.147995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.225129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.190940image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.380122image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.229193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.498368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.440900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.782369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.547309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:50.409930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:08.843633image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.402964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.382684image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.531111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.376405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.695919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.370389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.809921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.411368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.201094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.454432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.338900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.479799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.611042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.546545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.767845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.091917image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.195818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.213466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.295249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.264464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.472651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.292177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.582377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.525421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.860894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.626834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:50.482502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:08.924156image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.471447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.447061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.603634image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.436628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.773927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.447906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.134909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.474129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.282127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.529088image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.414427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.546312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.696562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.619859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.845375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.170917image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.266818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.290235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.379258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.326766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.565172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.396460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.662893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.584433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.950419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.709362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:50.573486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:09.000678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.539070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.518587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.683162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.504134image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.844449image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.513427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.212432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.541643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.353135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.598613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.507956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.625835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.785084image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.695395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.914906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.260455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.335350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.361973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.459780image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.407499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.648698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.465464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.739422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.664547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.034948image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.792885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:51.490753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:09.529240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.612479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.590119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.772173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.582150image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.928972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.575435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.283962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.622162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.420658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.667612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.595479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.696355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.871094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.767395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.990439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.341985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.402883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.429507image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.534305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.473300image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.741229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.569925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.816946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.731089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.126474image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.871894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:51.575236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:09.616073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.705894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.668118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.844968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.657847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.025664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.648947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.374972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.698681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.506518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.740135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.700007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.761357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.948119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.841916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.083959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.429228image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.495415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.495788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.626833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.546690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.833757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.645011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.908143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.804895image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.227003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.941399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:51.658806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:09.697670image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.791419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.744652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.945729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.722265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.101680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.725470image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.473495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.778951image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.589891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.803655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.804533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.837880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.035640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.906440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.163969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.498555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.587944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.559920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.718357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.619213image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.908686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.736412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.996670image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.875559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.308527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:24.028925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:51.734897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:09.772518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.873427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.815183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.025250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.795787image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.173285image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.804989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.559019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.848714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.658206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.884664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.884064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.910400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.107906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.983446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.241498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.582185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.670956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.642796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.790886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.691025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.975882image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.831685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.077679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.947055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.388058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:24.107462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:51.840906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:09.852026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.957948image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.885194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.108772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.858785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.247540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.878997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.634544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.920362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.740736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.963175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:58.967698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.987408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.183948image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:17.058963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.313035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.672709image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.742477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.713324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.868886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.775537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.046810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:21.960485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.159195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.011654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.474065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:24.188467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:51.945130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:09.930553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.038471image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.959268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.182296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.933306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.324299image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.946512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.719073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.003886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.827265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.042700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.068273image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.055921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.274955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:17.130483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.384568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.752235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.826009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.795230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:03.957417image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.842056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.123341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.027789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.248724image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.082654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.558581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:24.277983image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.018363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.009086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.118999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.023800image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.267300image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.003829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.393278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.015030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.797596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.086890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.892792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.116215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.158790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.139446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.358207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:17.199006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.456568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.835763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.895541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.887239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.032531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.910128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.192866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.146178image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.331248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.161175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:07.644695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:24.350511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:52.084310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:10.083096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:53.201525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:11.097332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:54.348813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:12.069826image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:55.472847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:13.091553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:56.874604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:14.161406image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:57.989319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:15.192739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:41:59.255322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:16.227971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:00.437873image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:17.271004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:01.537101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:18.912396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:02.971551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:19.968754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:04.118061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:20.981604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:05.271873image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:22.214974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

2024-12-05T01:42:06.413778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:23.232703image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

Machine Failure

2024-12-05T01:42:31.010996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

No Machine Failure

2024-12-05T01:42:31.185639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Machine Failure

Air_System_Pressure(bar)Assembly_Line_NoCoolant_Pressure(bar)Coolant_TemperatureCutting(kN)Hydraulic_Oil_TemperatureHydraulic_Pressure(bar)Machine_IDSpindle_Bearing_TemperatureSpindle_Speed(RPM)Spindle_VibrationTool_VibrationTorque(Nm)Voltage(volts)month_cosmonth_sin
Air_System_Pressure(bar)1.0000.000-0.0430.0350.009-0.050-0.0210.0000.002-0.0140.0330.0480.017-0.037-0.0080.034
Assembly_Line_No0.0001.0000.0000.0000.0490.0300.0001.0000.0000.0000.0000.0390.0270.0500.0390.000
Coolant_Pressure(bar)-0.0430.0001.0000.0250.317-0.0040.0480.0000.0250.087-0.027-0.010-0.1880.0160.270-0.377
Coolant_Temperature0.0350.0000.0251.0000.069-0.015-0.0510.000-0.0320.035-0.0020.006-0.0250.0060.022-0.074
Cutting(kN)0.0090.0490.3170.0691.000-0.0130.0350.049-0.0040.1780.004-0.044-0.043-0.0480.146-0.208
Hydraulic_Oil_Temperature-0.0500.030-0.004-0.015-0.0131.000-0.0070.0300.0530.0400.004-0.0120.0060.047-0.0620.018
Hydraulic_Pressure(bar)-0.0210.0000.048-0.0510.035-0.0071.0000.0000.0520.037-0.0410.053-0.1160.012-0.014-0.017
Machine_ID0.0001.0000.0000.0000.0490.0300.0001.0000.0000.0000.0000.0390.0270.0500.0390.000
Spindle_Bearing_Temperature0.0020.0000.025-0.032-0.0040.0530.0520.0001.0000.052-0.0400.006-0.0580.014-0.013-0.040
Spindle_Speed(RPM)-0.0140.0000.0870.0350.1780.0400.0370.0000.0521.0000.018-0.011-0.159-0.0100.069-0.205
Spindle_Vibration0.0330.000-0.027-0.0020.0040.004-0.0410.000-0.0400.0181.0000.0090.018-0.000-0.0000.013
Tool_Vibration0.0480.039-0.0100.006-0.044-0.0120.0530.0390.006-0.0110.0091.0000.0080.0220.006-0.012
Torque(Nm)0.0170.027-0.188-0.025-0.0430.006-0.1160.027-0.058-0.1590.0180.0081.0000.005-0.1390.372
Voltage(volts)-0.0370.0500.0160.006-0.0480.0470.0120.0500.014-0.010-0.0000.0220.0051.0000.0060.008
month_cos-0.0080.0390.2700.0220.146-0.062-0.0140.039-0.0130.069-0.0000.006-0.1390.0061.000-0.347
month_sin0.0340.000-0.377-0.074-0.2080.018-0.0170.000-0.040-0.2050.013-0.0120.3720.008-0.3471.000

No Machine Failure

Air_System_Pressure(bar)Assembly_Line_NoCoolant_Pressure(bar)Coolant_TemperatureCutting(kN)Hydraulic_Oil_TemperatureHydraulic_Pressure(bar)Machine_IDSpindle_Bearing_TemperatureSpindle_Speed(RPM)Spindle_VibrationTool_VibrationTorque(Nm)Voltage(volts)month_cosmonth_sin
Air_System_Pressure(bar)1.0000.000-0.0150.048-0.0220.001-0.0200.0000.0330.006-0.0110.0630.0560.049-0.027-0.018
Assembly_Line_No0.0001.0000.0000.0470.0000.0150.0511.0000.0000.0000.0290.0000.0440.0440.0000.000
Coolant_Pressure(bar)-0.0150.0001.0000.0600.0850.0160.0090.000-0.0440.1600.023-0.002-0.0890.0210.1090.190
Coolant_Temperature0.0480.0470.0601.0000.0340.0510.0270.0470.0180.1060.018-0.008-0.0650.0060.0280.164
Cutting(kN)-0.0220.0000.0850.0341.000-0.0050.0210.0000.0280.128-0.020-0.037-0.063-0.0320.0830.027
Hydraulic_Oil_Temperature0.0010.0150.0160.051-0.0051.0000.0390.0150.003-0.022-0.010-0.006-0.0290.0170.0050.040
Hydraulic_Pressure(bar)-0.0200.0510.0090.0270.0210.0391.0000.051-0.0380.0350.034-0.038-0.004-0.029-0.0220.043
Machine_ID0.0001.0000.0000.0470.0000.0150.0511.0000.0000.0000.0290.0000.0440.0440.0000.000
Spindle_Bearing_Temperature0.0330.000-0.0440.0180.0280.003-0.0380.0001.0000.006-0.032-0.0550.0320.0050.002-0.028
Spindle_Speed(RPM)0.0060.0000.1600.1060.128-0.0220.0350.0000.0061.0000.0240.003-0.144-0.0330.0060.158
Spindle_Vibration-0.0110.0290.0230.018-0.020-0.0100.0340.029-0.0320.0241.000-0.0340.0240.0200.0130.017
Tool_Vibration0.0630.000-0.002-0.008-0.037-0.006-0.0380.000-0.0550.003-0.0341.000-0.0340.025-0.014-0.009
Torque(Nm)0.0560.044-0.089-0.065-0.063-0.029-0.0040.0440.032-0.1440.024-0.0341.0000.036-0.104-0.077
Voltage(volts)0.0490.0440.0210.006-0.0320.017-0.0290.0440.005-0.0330.0200.0250.0361.0000.008-0.011
month_cos-0.0270.0000.1090.0280.0830.005-0.0220.0000.0020.0060.013-0.014-0.1040.0081.000-0.335
month_sin-0.0180.0000.1900.1640.0270.0400.0430.000-0.0280.1580.017-0.009-0.077-0.011-0.3351.000

Missing values

Machine Failure

2024-12-05T01:42:07.774229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.

No Machine Failure

2024-12-05T01:42:24.463038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.

Machine Failure

2024-12-05T01:42:07.983282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

No Machine Failure

2024-12-05T01:42:24.653093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Machine Failure

2024-12-05T01:42:08.133326image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

No Machine Failure

2024-12-05T01:42:24.820148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Machine Failure

Machine_IDAssembly_Line_NoHydraulic_Pressure(bar)Coolant_Pressure(bar)Air_System_Pressure(bar)Coolant_TemperatureHydraulic_Oil_TemperatureSpindle_Bearing_TemperatureSpindle_VibrationTool_VibrationSpindle_Speed(RPM)Voltage(volts)Torque(Nm)Cutting(kN)Downtimemonth_sinmonth_cos
0Makino-L1-Unit1-2013Shopfloor-L171.046.9337256.28496525.646.033.41.29126.49225892.0335.024.0553263.58Machine_Failure-2.449294e-161.000000e+00
1Makino-L1-Unit1-2013Shopfloor-L1125.334.9368926.19673335.347.434.61.38225.27419856.0368.014.2028902.68Machine_Failure-2.449294e-161.000000e+00
2Makino-L3-Unit1-2015Shopfloor-L371.126.8394136.65544813.140.733.01.31930.60819851.0325.024.0492673.55Machine_Failure-2.449294e-161.000000e+00
3Makino-L2-Unit1-2015Shopfloor-L2139.344.5743826.56039424.444.240.60.61830.79118461.0360.025.8600293.55Machine_Failure5.000000e-01-8.660254e-01
4Makino-L1-Unit1-2013Shopfloor-L160.516.8931826.1412384.147.331.40.98325.51626526.0354.025.5158743.55Machine_Failure1.000000e+006.123234e-17
5Makino-L2-Unit1-2015Shopfloor-L2137.375.9183577.2280665.448.032.70.90325.59727613.0319.025.5213303.55Machine_Failure1.000000e+006.123234e-17
6Makino-L1-Unit1-2013Shopfloor-L1135.936.5603326.71099919.348.837.41.24032.13826605.0438.025.4546523.58Machine_Failure1.000000e+006.123234e-17
9Makino-L3-Unit1-2015Shopfloor-L3134.025.5678576.73309614.047.935.20.74836.60120504.0379.025.6185673.93Machine_Failure1.000000e+006.123234e-17
10Makino-L2-Unit1-2015Shopfloor-L271.715.3586246.52574434.343.032.40.67125.06917919.0396.025.4614403.67Machine_Failure1.000000e+006.123234e-17
11Makino-L1-Unit1-2013Shopfloor-L1134.544.5668545.75837111.546.237.60.66118.75021951.0366.025.6130693.59Machine_Failure1.000000e+006.123234e-17

No Machine Failure

Machine_IDAssembly_Line_NoHydraulic_Pressure(bar)Coolant_Pressure(bar)Air_System_Pressure(bar)Coolant_TemperatureHydraulic_Oil_TemperatureSpindle_Bearing_TemperatureSpindle_VibrationTool_VibrationSpindle_Speed(RPM)Voltage(volts)Torque(Nm)Cutting(kN)Downtimemonth_sinmonth_cos
7Makino-L3-Unit1-2015Shopfloor-L3127.7151645.0607096.00222920.845.837.51.12519.82314266.0334.034.9730042.02No_Machine_Failure1.06.123234e-17
8Makino-L3-Unit1-2015Shopfloor-L3123.6184565.0743806.0395244.551.532.10.69016.97220413.0278.032.5192992.88No_Machine_Failure1.06.123234e-17
21Makino-L3-Unit1-2015Shopfloor-L3139.6712075.0544006.7619048.748.241.01.16827.67220303.0315.023.5138652.83No_Machine_Failure1.06.123234e-17
23Makino-L3-Unit1-2015Shopfloor-L3148.6625485.0577256.22778911.949.435.30.63324.25720310.0355.023.5057612.68No_Machine_Failure1.06.123234e-17
24Makino-L2-Unit1-2015Shopfloor-L2131.0481925.0519437.0501195.750.436.71.02428.51920298.0241.023.5196572.90No_Machine_Failure1.06.123234e-17
25Makino-L1-Unit1-2013Shopfloor-L1145.2990285.0495805.7614316.848.336.01.12329.25120297.0429.023.5208162.69No_Machine_Failure1.06.123234e-17
27Makino-L3-Unit1-2015Shopfloor-L3170.0894614.9792155.3993527.449.734.50.89928.34820018.0343.023.8486362.71No_Machine_Failure1.06.123234e-17
29Makino-L2-Unit1-2015Shopfloor-L2111.7502054.9780576.3435719.944.544.10.89739.84620016.0336.023.8510192.58No_Machine_Failure1.06.123234e-17
30Makino-L3-Unit1-2015Shopfloor-L3127.5689924.9792356.84935010.643.230.50.92329.88820018.0386.023.8486362.82No_Machine_Failure1.06.123234e-17
31Makino-L1-Unit1-2013Shopfloor-L1111.2860775.0589046.61599912.248.231.51.18318.11320314.0432.023.5011322.62No_Machine_Failure1.06.123234e-17

Machine Failure

Machine_IDAssembly_Line_NoHydraulic_Pressure(bar)Coolant_Pressure(bar)Air_System_Pressure(bar)Coolant_TemperatureHydraulic_Oil_TemperatureSpindle_Bearing_TemperatureSpindle_VibrationTool_VibrationSpindle_Speed(RPM)Voltage(volts)Torque(Nm)Cutting(kN)Downtimemonth_sinmonth_cos
2484Makino-L1-Unit1-2013Shopfloor-L198.114.8941576.51596527.043.731.71.68224.74421951.0362.016.9641052.74Machine_Failure1.0000006.123234e-17
2485Makino-L3-Unit1-2015Shopfloor-L386.705.5678576.40172319.746.638.61.31122.19723432.0372.014.2028903.67Machine_Failure0.8660255.000000e-01
2486Makino-L1-Unit1-2013Shopfloor-L1134.546.8394136.5966399.945.837.91.21316.61019538.0337.015.9007163.55Machine_Failure0.8660255.000000e-01
2487Makino-L3-Unit1-2015Shopfloor-L363.764.8435086.86623028.749.632.71.28025.88620504.0310.017.8993113.55Machine_Failure0.8660255.000000e-01
2488Makino-L2-Unit1-2015Shopfloor-L2141.144.8434077.52972827.046.932.61.08412.38326605.0362.016.9641053.55Machine_Failure0.8660255.000000e-01
2489Makino-L1-Unit1-2013Shopfloor-L1137.374.8513326.33614628.749.035.90.23123.02319573.0307.015.9007162.63Machine_Failure0.8660255.000000e-01
2490Makino-L1-Unit1-2013Shopfloor-L155.544.8416056.85228326.442.936.21.43624.81926526.0348.015.1197392.53Machine_Failure0.8660255.000000e-01
2491Makino-L2-Unit1-2015Shopfloor-L290.536.8394135.6987659.452.540.91.27131.57327613.0377.016.9641053.67Machine_Failure0.8660255.000000e-01
2492Makino-L1-Unit1-2013Shopfloor-L1137.374.8425216.13658521.549.642.30.43237.42319536.0402.024.4370392.84Machine_Failure0.8660255.000000e-01
2499Makino-L2-Unit1-2015Shopfloor-L296.695.9366107.10935529.853.236.20.84031.58023576.0385.024.4095513.55Machine_Failure0.8660255.000000e-01

No Machine Failure

Machine_IDAssembly_Line_NoHydraulic_Pressure(bar)Coolant_Pressure(bar)Air_System_Pressure(bar)Coolant_TemperatureHydraulic_Oil_TemperatureSpindle_Bearing_TemperatureSpindle_VibrationTool_VibrationSpindle_Speed(RPM)Voltage(volts)Torque(Nm)Cutting(kN)Downtimemonth_sinmonth_cos
2476Makino-L2-Unit1-2015Shopfloor-L2111.1051815.4591656.34988624.550.734.81.28526.70919197.0384.021.8420643.01No_Machine_Failure1.0000006.123234e-17
2477Makino-L1-Unit1-2013Shopfloor-L1152.8709075.4626626.11638924.646.243.70.71113.30313272.0381.032.5192992.01No_Machine_Failure1.0000006.123234e-17
2478Makino-L2-Unit1-2015Shopfloor-L2121.2938325.4967726.93961424.948.935.10.01229.98416198.0311.032.3704562.11No_Machine_Failure1.0000006.123234e-17
2481Makino-L1-Unit1-2013Shopfloor-L196.1092195.4333366.42671311.947.330.01.30923.07315217.0361.021.9041981.86No_Machine_Failure1.0000006.123234e-17
2493Makino-L3-Unit1-2015Shopfloor-L3106.3888815.2117536.13113522.350.738.70.98936.26517726.0297.031.5210752.02No_Machine_Failure0.8660255.000000e-01
2494Makino-L2-Unit1-2015Shopfloor-L2131.8943075.2215556.57339222.445.532.51.27623.43020978.0390.022.7572702.94No_Machine_Failure0.8660255.000000e-01
2495Makino-L1-Unit1-2013Shopfloor-L1112.7155065.2208856.19661022.348.837.20.91020.28220974.0282.022.7616102.72No_Machine_Failure0.8660255.000000e-01
2496Makino-L1-Unit1-2013Shopfloor-L1103.0866535.2118867.07465311.948.331.51.10634.70820951.0319.022.7865972.94No_Machine_Failure0.8660255.000000e-01
2497Makino-L2-Unit1-2015Shopfloor-L2118.6431655.2129916.5300494.549.936.20.28816.82820958.0335.022.778987NaNNo_Machine_Failure0.8660255.000000e-01
2498Makino-L3-Unit1-2015Shopfloor-L3145.8558595.2077776.40265512.244.532.10.99526.49820935.0376.022.8040122.79No_Machine_Failure0.8660255.000000e-01

Duplicate rows

Machine Failure

Machine_IDAssembly_Line_NoHydraulic_Pressure(bar)Coolant_Pressure(bar)Air_System_Pressure(bar)Coolant_TemperatureHydraulic_Oil_TemperatureSpindle_Bearing_TemperatureSpindle_VibrationTool_VibrationSpindle_Speed(RPM)Voltage(volts)Torque(Nm)Cutting(kN)Downtimemonth_sinmonth_cos# duplicates
Dataset does not contain duplicate rows.

No Machine Failure

Machine_IDAssembly_Line_NoHydraulic_Pressure(bar)Coolant_Pressure(bar)Air_System_Pressure(bar)Coolant_TemperatureHydraulic_Oil_TemperatureSpindle_Bearing_TemperatureSpindle_VibrationTool_VibrationSpindle_Speed(RPM)Voltage(volts)Torque(Nm)Cutting(kN)Downtimemonth_sinmonth_cos# duplicates
Dataset does not contain duplicate rows.